Inferring Incidence of Unreported SARS-CoV-2 Infections Using Seroprevalence of Open Reading Frame 8 Antigen, Hong Kong

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Zhao, Shi ; Mok, Chris Ka Pun ; Tang, Yun Sang ; Chen, Chunke ; Sun, Yuanxin ; Chong, Ka Chun ; Hui, David S.C.
• Description:
  We tested seroprevalence of open reading frame 8 antigens to infer the number of unrecognized SARS-CoV-2 Omicron infections in Hong Kong during 2022. We estimate 33.6% of the population was infected, 72.1% asymptomatically. Surveillance and control activities during large-scale outbreaks should account for potentially substantial undercounts.
• Subjects:
  Humans Incidence Open Reading Frames SARS-CoV-2 Seroepidemiologic Studies
• Keywords:
  China COVID-19 Hong Kong Infection Attack Rate ORF8 Antigen Respiratory Infections SARS-CoV-2 Omicron Variant Viruses Zoonoses
• Source:
  Emerg Infect Dis. 2024; 30(2):325-328
• Pubmed ID:
  38167176
• Pubmed Central ID:
  PMC10826773
• Document Type:
  Journal Article
• Place as Subject:
  Hong Kong
• Volume:
  30
• Issue:
  2
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha256:e67601635ba3a58bd6196d25c5dee6623a6bef8a26f5b841046540cf9bf65120
• Download URL:
  https://stacks.cdc.gov/view/cdc/147370/cdc_147370_DS1.pdf
• File Type:
  [PDF - 1.13 MB ]